siyeong-lee Goto Github PK
Name: Siyeong
Type: User
Bio: Deep learning + Reinforcement learning + Something = AI?
Name: Siyeong
Type: User
Bio: Deep learning + Reinforcement learning + Something = AI?
A collection of deep learning based methods for HDR image synthesis
Code for my book on Multi-Armed Bandit Algorithms
PyTorch implementation of "Weight Uncertainty in Neural Networks"
Lecture notes on Bayesian deep learning
PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"
๐ A visualization of the CapsNet layers to better understand how it works
Computational Intelligence Optimization
Official implementation of the paper "Combating the Instability of Mutual Information-based Losses via Regularization" (UAI 2022)
PyTorch implementation of Histogram Layers from DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
On the "steerability" of generative adversarial networks
Clustering with Gaussian Process Models
An implementation of "Paul E. Debevec, Jitendra Malik, Recovering High Dynamic Range Radiance Maps from Photographs, SIGGRAPH 1997."
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Multi-lane detection in urban driving environments using conditional random fields
A modern LaTeX Beamer theme
Regularization of Building Boundaries using Adversarial and Regularized losses
Python wrapper to Philipp Krรคhenbรผhl's dense (fully connected) CRFs with gaussian edge potentials.
An easy-to-follow Pytorch implementation of Hinton's Capsule Network
Pytorch implementation of convolutional neural network visualization techniques
Multi GPU Training Code for Deep Learning with PyTorch
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Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.